Senior Computing System Administrator

Salary Range: $90,000.00 - $

Yale Center for Research Computing (YCRC) is seeking a versatile system administrator/engineer to help ensure that Yale students and faculty have the AI high‑performance computing infrastructure they need to advance discovery and scholarship. The role focuses on GPU infrastructure enhancements as part of Yale’s investment in AI.

As an experienced subject matter expert you will lead the design, deployment, and support of YCRC’s AI‑focused research cluster and storage infrastructure. This position is primarily systems‑focused but includes researcher interaction. You will stay current on accelerator and HPC technologies, and advise on trade‑offs in memory, precision, networking, power, and cost.

This is a hybrid position, requiring a minimum of two days per week on site at YCRC’s office on the Yale campus. Equipment maintenance may be required on‑site. Infrastructure is hosted at a Yale data center in West Haven, CT and at the Massachusetts Green High‑Performance Computing Center in Holyoke, MA.

• Experience with accelerators such as GPUs for AI, including expertise with system‑level trade‑offs in accelerator‑based memory, precision, and interconnects.
• Expertise in administration of HPC Linux clusters, including provision and management tools and batch scheduler.
• Experience with high‑speed networking such as Infini Band and high‑speed Ethernet.
• Experience with large storage systems and parallel file systems such as GPFS and Lustre.
• Expertise in Linux system administration, including operating system, networking, storage, and security.
• Expertise in automation and scripting in at least one scripting language.
• Ability to work in a team environment in a fast‑moving technology field. Excellent verbal and writing skills.
• Ability to interact well with team members and end users, and to work independently across units.
• Attention to detail and the care needed to support a system used by hundreds of research users.

• Demonstrated ability to specify, install, configure, and support multi‑node GPU systems and tune them for AI applications.
• Experience designing, implementing, and maintaining a local, customized implementation of a core HPC system such as the provisioning system, resource‑management system, or user authentication and authorization systems.
• Experience supporting technology in a research environment.
• Expertise in configuration, deployment, support, and backup of large‑scale parallel storage systems.
• Experience administering high‑speed networking such as Infini Band or high‑speed Ethernet in a cluster environment.
• Expertise in computer security, preferably in large, multi‑user Linux environments.
• Experience in a data‑center environment, installing and troubleshooting hardware.
• Professional certifications related to the above.
• Graduate degree in a related field.

Bachelor's Degree in a related field and a minimum of six years of related work experience, or an equivalent combination of education and experience.

Yale University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with federal and…